MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Building Open-Source AI Models That Emphasize Generating Mental Health Advice

I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.

Understanding Fourier Analysis: Uncovering Patterns in Time Series Data

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

What type of data is needed to find opportunities

What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...

Build Faster Excel Workflows Using FILTER, IFS, XLOOKUP, and LET for Real-World Data

Learn the difference between Excel COUNT and COUNTA, plus TEXTBEFORE and TEXTAFTER tricks, so you clean text and totals with ...

Six data shifts that will shape enterprise AI in 2026

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...
IEEE

Detection of False Data Injection Attacks in Industrial Wireless Sensor Networks Exploiting Network Numerical Sparsity

Abstract: Existing studies on false data injection attacks, a type of stealth attacks against sensor networks aimed at compromising the system in the cyber-physical security domain, have primarily ...
IEEE

Comprehensive Framework for Robustness evaluation on Numeric data classification

Abstract: As its an era of Artificial Intelligence, and we have started relying on decisions made by machine in almost every domain. To do so, we need a framework on responsible AI which can help ...